Using your own criminal justice scenario as an example, I want each student to initially post why a linear regression is sometimes appropriate. In your criminal justice research scenario (with an independent and dependent variable found in criminal justice), draw a graph and plot some illustrative data you wish to draw a regression line though (i.e., draw an X and Y axis with proper labels of an independent and dependent variable, and insert some data points where regression is appropriate, and then draw where you think a regression line would go through it). Below the graph, summarize in ONE sentence the nature (relationship, no relationship) (linear, non-linear, curvi-linear) (homoscedastic, heteroscedastic), strength (low, moderate, high) as well as the direction (negative, positive) of the relationship. I then want each student to respond to a different student’s initial post and respond with one graph of plotted data (using same X and Y labeled variables of the initial post) illustrating the type of plotted data where it would be inappropriate to use regression. Below the graph, summarize in ONE sentence the nature (relationship, no relationship) (linear, non-linear, curvi-linear) (homoscedastic, heteroscedastic), strength (low, moderate, high) as well as the direction (negative, positive) of this relationship.

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Initial Post Linear regression is sometimes appropriate for criminal justice research because it is a statistical technique used to analyze the relationship between two or more variables It can be use... View the full answer